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News articleYahoo Finance· March 11, 2026

Synopsys Launches Ansys 2026 R1 to Re-Engineer Engineering with Joint Solutions and AI-Powered Products

View original at finance.yahoo.com
Synopsys Launches Ansys 2026 R1 to Re-Engineer Engineering with Joint Solutions and AI-Powered Products Release combines AI, multiphysics simulation, and real-world digital twin technology to transform how teams explore designs, validate earlier, and engineer smarter, more resilient systems Key Highlights Delivers unif…
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  • By bringing Synopsys and Ansys technologies together, they're moving beyond point-to-point connections to create a unified fabric that links materials, physics, electronics, and software into a seamlessly orchestrated design environment.

    60% confidence
  • Modern automotive microcontrollers and processors integrate increasing levels of functionality, safety mechanisms, and configurability, and their contribution to system safety can only be fully understood when device-level safety analysis is seamlessly integrated into ECU and vehicle-level safety concepts.

    60% confidence
  • Ansys simulation metamodeling is transforming the way they approach power-grid design.

    60% confidence
  • The transition to intelligent, interconnected systems is driving the need for faster, physics-first, system-level design.

    60% confidence
  • By combining machine-learning insights on optiSLang with fast, guided optimization, they can quickly pinpoint the right balance of metal resources while maintaining power-grid integrity and reliability, converge place-and-route faster, reduce costly design iterations, and move to closure with far greater confidence.

    60% confidence
  • Synopsys enables organizations to move from concept to reality with extreme speed, empowering engineering teams and customers to innovate with confidence.

    60% confidence
  • By delivering these results in real time, the digital twin can provide the drive controller with the information needed to operate safely and efficiently.

    60% confidence
  • Ansys reduced-order modeling techniques including LTI and LPV methods are essential to building their digital twin, which runs extremely fast and gives critical insight into quantities they cannot measure directly, such as internal temperatures of IGBTs inside power cells.

    60% confidence
  • Functional safety is a shared responsibility across silicon vendors, tier 1 suppliers, and original equipment manufacturers (OEMs).

    60% confidence

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